Evidence map›Paper›PMID 39605511›Full record

ArticlebioRxiv : the preprint server for biology2024

Interlaboratory comparison of standardised metabolomics and lipidomics analyses in human and rodent blood using the MxP

Gözde Ertürk Zararsiz, Jutta Lintelmann, Alexander Cecil, Jennifer Kirwan, Gernot Poschet, Hagen M Gegner, Sven Schuchardt, Xue Li Guan, Daisuke Saigusa, David Wishart and 19 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Benchmarking untargeted metabolomics data quality with allopurinol-induced perturbations.Metabolomics : Official journal of the Metabolomic Society · 2026
    Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

29 authors.

Gözde Ertürk ZararsizInstitute of Computational Biology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.
Jutta LintelmannMetabolomics and Proteomics Core, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
Alexander CecilMetabolomics and Proteomics Core, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
Jennifer KirwanMetabolomics Platform, Berlin Institute of Health at Charité, Berlin, Germany.
Gernot PoschetMetabolomics Core Technology Platform, Centre for Organismal Studies, Heidelberg University, Heidelberg, Germany.
Hagen M GegnerMetabolomics Core Technology Platform, Centre for Organismal Studies, Heidelberg University, Heidelberg, Germany.
Sven SchuchardtFraunhofer Institute for Toxicology and Experimental Medicine, Hannover, Germany.
Xue Li GuanLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Daisuke SaigusaLaboratory of Biomedical and Analytical Sciences, Faculty of Pharmaceutical Science, Teikyo University, Tokyo, Japan.
David WishartDepartment of Biological Sciences, University of Alberta, Edmonton, Canada.
Jiamin ZhengDepartment of Biological Sciences, University of Alberta, Edmonton, Canada.
Rupasri MandalDepartment of Biological Sciences, University of Alberta, Edmonton, Canada.
Kendra AdamsDuke Proteomics and Metabolomics Shared Resource, Center for Genomic and Computational Biology, Duke University, Durham (NC), USA.
J Will ThompsonDuke Proteomics and Metabolomics Shared Resource, Center for Genomic and Computational Biology, Duke University, Durham (NC), USA.
Michael P SnyderDepartment of Genetics, Stanford University School of Medicine, Stanford (CA), USA.
Kevin ContrepoisDepartment of Genetics, Stanford University School of Medicine, Stanford (CA), USA.
Songjie ChenDepartment of Genetics, Stanford University School of Medicine, Stanford (CA), USA.
Nadia AshrafiCorewell Health Research Institute, Metabolomics Department, Royal Oak (MI), USA.
Sumeyya AkyolCorewell Health Research Institute, Metabolomics Department, Royal Oak (MI), USA.
Ali YilmazCorewell Health Research Institute, Metabolomics Department, Royal Oak (MI), USA.
Stewart F GrahamCorewell Health Research Institute, Metabolomics Department, Royal Oak (MI), USA.
Thomas M O'ConnellSchool of Medicine, Indiana University, Indianapolis (IN), USA.
Karel KaleckýCenter of Metabolomics, Institute of Metabolic Disease, Baylor Scott & White Research Institute, Dallas (TX), USA.
Teodoro BottiglieriCenter of Metabolomics, Institute of Metabolic Disease, Baylor Scott & White Research Institute, Dallas (TX), USA.
Alice Limoncielbiocrates life sciences ag, Innsbruck, Austria.
Hai Tuan Phambiocrates life sciences ag, Innsbruck, Austria.
Therese Koalbiocrates life sciences ag, Innsbruck, Austria.
Jerzy AdamskiInstitute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
Gabi KastenmüllerInstitute of Computational Biology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.ORCID 0000-0002-2368-7322

Funding

Project 4 - Mechanistic studies on the role of the gut microbiome in models for Alzheimer's diseaseU19AG063744 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ROB KNIGHT, Rima F Kaddurah-Daouk · 2019 to 2026
$54.1M
Metabolomic Signatures for Disease Sub-classification and Target Prioritization in AMP-ADU01AG061359 · NIA · DUKE UNIVERSITY · PI KADDURAH-DAOUK, RIMA F, KASTENMULLER, GABI · 2018 to 2022
$10.0M
Metabolic Networks and Pathways Predictive of Sex Differences in AD Risk and Responsiveness to TreatmentRF1AG059093 · NIA · DUKE UNIVERSITY · PI BRINTON, ROBERTA EILEEN, CHANG, RUI · 2018 to 2018
$5.9M
The Black American United Memory & Aging Project (BA-UMAP): An examination of cognitive decline in midlife and older Black adults using remote cognitive assessments, risk factors & biomarkersR01AG079388 · NIA · NORTH CAROLINA AGRI & TECH ST UNIV · PI Travonia S Brown-Hughes, Stewart F Graham · 2022 to 2026
$4.8M
Metabolic Network Analysis of Biochemical Trajectories in Alzheimer's DiseaseRF1AG057452 · NIA · DUKE UNIVERSITY · PI KADDURAH-DAOUK, RIMA F, KASTENMULLER, GABI · 2017 to 2017
$3.5M
Gut Liver Brain Biochemical Axis in Alzheimer's DiseaseRF1AG058942 · NIA · DUKE UNIVERSITY · PI KADDURAH-DAOUK, RIMA F, VAN DUIJN, CORNELIA MARJA · 2018 to 2018
$3.4M
The contribution of the vermiform appendix to Parkinson's diseaseR01NS114409 · NINDS · VAN ANDEL RESEARCH INSTITUTE · PI BRUNDIN, LENA CECILIA · 2020 to 2024
$2.2M
Dihydroxyacetone exposure induces metabolic reprogramming and mitochondrial dysfunctionR01ES032450 · NIEHS · UNIVERSITY OF SOUTH ALABAMA · PI GASSMAN, NATALIE ROSE · 2021 to 2025
$1.7M
Developing therapeutic strategies to elicit metabolic synthetic lethality in glioblastomaR01NS110838 · NINDS · WILLIAM BEAUMONT HOSPITAL RESEARCH INST · PI CHINNAIYAN, PRAKASH · 2020 to 2024
$1.7M
Are the impairments of arginine metabolism as found in Alzheimer's disease also present in patients developing post-operative delirium and cognitive decline?R33AG067083 · NIA · WILLIAM BEAUMONT HOSPITAL RESEARCH INST · PI CUNNINGHAM, EMMA LOUISE, GRAHAM, STEWART F · 2023 to 2025
$720k
NIA NIH HHS R01 AG079388NIA NIH HHS R33 AG067083NIA NIH HHS RF1 AG057452NIA NIH HHS RF1 AG058942NIA NIH HHS RF1 AG059093NIA NIH HHS U01 AG061359NIA NIH HHS U19 AG063744NIEHS NIH HHS R01 ES032450NINDS NIH HHS R01 NS110838NINDS NIH HHS R01 NS114409
6 · The paper itself

Abstract

Metabolomics and lipidomics are pivotal in understanding phenotypic variations beyond genomics. However, quantification and comparability of mass spectrometry (MS)-derived data are challenging. Standardised assays can enhance data comparability, enabling applications in multi-center epidemiological and clinical studies. Here we evaluated the performance and reproducibility of the MxP

Identifiers

PMID39605511
PMCPMC11601468

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.